Researchers investigate whether AI agents can perform open-ended scientific discovery using Station, an open-world environment with multiple agents. They propose a Supervisor mechanism and Meta Reflection to enable persistent exploration, finding that Station rediscovers 62.7% of criteria from recent ICLR papers, significantly outperforming comparable systems.